Deep Graph Infomax

27 September 2018

Papers citing "Deep Graph Infomax"

50 / 313 papers shown

Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuang Hu Yuanyuan Zhu Bo Du Jia Wu Jiawei Jiang 29 0 0 13 May 2025
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Jing Ren Mingliang Hou Zhixuan Liu Xiaomei Bai 39 1 0 12 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 140 0 0 08 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 May 2025
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction L. Zhang Xin Dong Shuaibing Jia J. Zhang 21 0 0 01 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 129 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 165 0 0 25 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Jia Li Fugee Tsung Hongzhi Yin Tao Zheng Jianhua Zhao Tieke He 31 0 0 19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 29 0 0 17 Apr 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 54 0 0 18 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 51 0 0 13 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 106 0 0 13 Mar 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 110 5 0 13 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 48 1 0 02 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Y. Wang Xinnan Dai Wenqi Fan Yao Ma 76 1 0 26 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 46 1 0 25 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 98 1 0 04 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 46 0 0 02 Feb 2025
Multilingual State Space Models for Structured Question Answering in Indic Languages A. Vats Rahul Raja Mrinal Mathur Vinija Jain Aman Chadha 68 1 0 01 Feb 2025
A Geometric Perspective for High-Dimensional Multiplex Graphs K. Abdous Nairouz Mrabah Mohamed Bouguessa 73 0 0 29 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 31 0 0 23 Jan 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 144 2 0 20 Jan 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 89 8 0 10 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 56 5 0 31 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 73 0 0 18 Dec 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 47 2 0 25 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 29 1 0 20 Oct 2024
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models Tangwen Qian Junhe Li Yile Chen Gao Cong Tao Sun Fei Wang Y. Xu AI4TS 35 3 0 17 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 45 6 0 14 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 37 0 0 09 Oct 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 33 1 0 10 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 29 3 0 04 Jul 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 35 0 0 21 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 24 0 0 14 Jun 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 35 2 0 27 May 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 51 4 0 24 Apr 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks Zhe Zhao Pengkun Wang Xu Wang Haibin Wen Xiaolong Xie Zhengyang Zhou Qingfu Zhang Yang Wang AI4CE CLL 20 0 0 23 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 Mar 2024
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning Lijin Wu Shanshan Lei Feilong Liao Yuanjun Zheng Yuxin Liu Wentao Fu Hao Song Jiajun Zhou 35 1 0 24 Mar 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain Jungwon Choi Hyungi Lee Byung-Hoon Kim Juho Lee 77 0 0 11 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction Junjian Lu Siwei Liu Dmitrii Kobylianski Etienne Dreyer Eilam Gross Shangsong Liang 32 3 0 18 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives Shubham Gupta Srikanta J. Bedathur OOD 26 1 0 14 Feb 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 37 4 0 18 Jan 2024